Deep Learning-Based Modulation Recognition for MIMO Systems: Fundamental, Methods, Challenges
X Zhang, Z Luo, W Xiao, L Feng - IEEE Access, 2024 - ieeexplore.ieee.org
In non-cooperative communication systems such as radio spectrum resource regulation and
modern electronic warfare, automatic modulation recognition is a key technology. Traditional …
modern electronic warfare, automatic modulation recognition is a key technology. Traditional …
A semi-supervised modulation identification in MIMO systems: A deep learning strategy
Accurate modulation identification of the received signals is undoubtedly a central
component in multiple-input multiple-output (MIMO) communication systems, facilitating the …
component in multiple-input multiple-output (MIMO) communication systems, facilitating the …
Denoising higher-order moments for blind digital modulation identification in multiple-antenna systems
S Kharbech, EP Simon, A Belazi… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
This letter proposes a new technique that substantially improves blind digital modulation
identification (DMI) algorithms that are based on higher-order statistics (HOS). The proposed …
identification (DMI) algorithms that are based on higher-order statistics (HOS). The proposed …
[PDF][PDF] Spectrum sensing for cognitive radio systems using modulation classification: A review
Spectrum sensing is the most important procedure for the operation of cognitive radio
systems. To overcome the shortcomings of the conventional spectrum sensing techniques …
systems. To overcome the shortcomings of the conventional spectrum sensing techniques …
[PDF][PDF] A Semi-Supervised Modulation Identification in MIMO Systems: A Deep Learning Strategy
Accurate modulation identification of the received signals is undoubtedly a central
component in multiple-input multiple-output (MIMO) communication systems, facilitating the …
component in multiple-input multiple-output (MIMO) communication systems, facilitating the …